IDEAS home Printed from https://ideas.repec.org/p/ulb/ulbeco/2013-683.html
   My bibliography  Save this paper

Bulles spéculatives et transmission d'information sur le marché d'un bien stockable

Author

Listed:
  • Laurence Broze
  • Christian Gourieroux
  • Ariane Szafarz

Abstract

We are interested in the evolution of the equilibrium price of a stockable commodity which can be demanded for speculative purposes. Using a model "à la Grossman", we determine all the possible price evolutions and we analyse the effect of the structural parameters on the growth of speculative bubbles. The model can be extended to the case of agents having diverse informations. It is shown that, if they have a minimal level of information, they form necessarily the same equilibrium price expectations. Then it is possible to characterize the cases where the market is efficient. Nous étudions l’évolution du prix d’équilibre pour un bien stockable à titre spéculatif. L’impact des différents paramètres structurels sur l’amplitude des bulles spéculatives est mis en évidence. De plus le paramètre auxiliaire lié à la présence d’anticipations rationnelles est interprété comme une mesure de la confiance accordée par les agents à leurs propres anticipations. Lorsque les agents sont différenciés, notamment par le niveau de l’information dont ils disposent, nous montrons que tous les spéculateurs atteignant un seuil d’information forment les mêmes anticipations. De la sorte, on peut caractériser les cas où le marché est efficient.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Laurence Broze & Christian Gourieroux & Ariane Szafarz, 1986. "Bulles spéculatives et transmission d'information sur le marché d'un bien stockable," ULB Institutional Repository 2013/683, ULB -- Universite Libre de Bruxelles.
  • Handle: RePEc:ulb:ulbeco:2013/683
    as

    Download full text from publisher

    File URL: https://dipot.ulb.ac.be/dspace/bitstream/2013/683/4/e8081de6-0175-4fd9-917d-41801dce46e7.txt
    File Function: Full text for the whole work, or for a work part
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hansen, Lars Peter & Sargent, Thomas J., 1982. "Instrumental variables procedures for estimating linear rational expectations models," Journal of Monetary Economics, Elsevier, vol. 9(3), pages 263-296.
    2. Hansen, Lars Peter & Sargent, Thomas J., 1980. "Formulating and estimating dynamic linear rational expectations models," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 7-46, May.
    3. Behzad T. Diba & Herschel I. Grossman, 1983. "Rational Asset Price Bubbles," NBER Working Papers 1059, National Bureau of Economic Research, Inc.
    4. Hellwig, Martin F., 1982. "Rational expectations equilibrium with conditioning on past prices: A mean-variance example," Journal of Economic Theory, Elsevier, vol. 26(2), pages 279-312, April.
    5. Diamond, Douglas W. & Verrecchia, Robert E., 1981. "Information aggregation in a noisy rational expectations economy," Journal of Financial Economics, Elsevier, vol. 9(3), pages 221-235, September.
    6. Hansen, Lars Peter & Singleton, Kenneth J, 1982. "Generalized Instrumental Variables Estimation of Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 50(5), pages 1269-1286, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza-Rodrigues, 2018. "Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models," NBER Working Papers 25134, National Bureau of Economic Research, Inc.
    2. Tsai, Grace Yueh-Hsiang, 1989. "A dynamic model of the U.S. cotton market with rational expectations," ISU General Staff Papers 1989010108000012168, Iowa State University, Department of Economics.
    3. Antle, John M. & Havenner, Arthur, 1983. "Formulating And Estimating Dynamic Stochastic Production Models," Working Papers 225711, University of California, Davis, Department of Agricultural and Resource Economics.
    4. Kalouptsidi, Myrto & Scott, Paul T. & Souza-Rodrigues, Eduardo, 2021. "Linear IV regression estimators for structural dynamic discrete choice models," Journal of Econometrics, Elsevier, vol. 222(1), pages 778-804.
    5. M. Ishaq Nadiri & Ingmar Prucha, 2001. "Dynamic Factor Demand Models and Productivity Analysis," NBER Chapters, in: New Developments in Productivity Analysis, pages 103-172, National Bureau of Economic Research, Inc.
    6. Kalouptsidi, Myrto & Scott, Paul T. & Souza-Rodrigues, Eduardo, 2018. "Linear IV Regression Estimators for Structural Dynamic Discrete Choice Models," CEPR Discussion Papers 13240, C.E.P.R. Discussion Papers.
    7. Hansen, Lars Peter, 2013. "Uncertainty Outside and Inside Economic Models," Nobel Prize in Economics documents 2013-7, Nobel Prize Committee.
    8. Jaebeom Kim & Masao Ogaki & Minseok Yang, 2007. "Structural Error Correction Models: A System Method for Linear Rational Expectations Models and an Application to an Exchange Rate Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(8), pages 2057-2075, December.
    9. Karp, Larry & Perloff, Jeffrey M, 1988. "Dynamic Oligopoly: Estimation and Tests of Market Structure," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt7fk1119n, Department of Agricultural & Resource Economics, UC Berkeley.
    10. Matthijs Lof, 2014. "GMM Estimation with Non-causal Instruments under Rational Expectations," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 279-286, April.
    11. Alessie, Rob & Kapteyn, Arie & Melenberg, Bertrand, 1989. "The effects of liquidity constraints on consumption Estimation from household panel data," European Economic Review, Elsevier, vol. 33(2-3), pages 547-555, March.
    12. Xavier Vives, 2014. "On The Possibility Of Informationally Efficient Markets," Journal of the European Economic Association, European Economic Association, vol. 12(5), pages 1200-1239, October.
    13. Boileau, Martin & Normandin, Michel, 2002. "Aggregate employment, real business cycles, and superior information," Journal of Monetary Economics, Elsevier, vol. 49(3), pages 495-520, April.
    14. West, Kenneth D, 1986. "A Variance Bounds Test of the Linear Quadratic Inventory Model," Journal of Political Economy, University of Chicago Press, vol. 94(2), pages 374-401, April.
    15. Yselle F. Malah Kuete & Simplice A. Asongu, 2023. "Infrastructure Development as a Prerequisite for Structural Change in Africa," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1386-1412, June.
    16. Boileau, Martin & Normandin, Michel, 2003. "Labor hoarding, superior information, and business cycle dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 397-418, November.
    17. Guido Ascari & Qazi Haque & Leandro M. Magnusson & Sophocles Mavroeidis, 2024. "Empirical evidence on the Euler equation for investment in the US," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(4), pages 543-563, June.
    18. Mervyn A. King, 1983. "The Economics of Saving," NBER Working Papers 1247, National Bureau of Economic Research, Inc.
    19. de Resende, Charlene C. & Pereira, Adriano C.M. & Cardoso, Rodrigo T.N. & de Magalhães, A.R. Bosco, 2017. "Investigating market efficiency through a forecasting model based on differential equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 199-212.
    20. Verrecchia, Robert E., 2001. "Essays on disclosure," Journal of Accounting and Economics, Elsevier, vol. 32(1-3), pages 97-180, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ulb:ulbeco:2013/683. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Benoit Pauwels (email available below). General contact details of provider: https://edirc.repec.org/data/ecsulbe.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.